ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

Objective To explore the optimal warning threshold of motor evoked potentials(MEP)in decompression surgery for ossification of the posterior longitudinal ligament(OPLL)at cervical and thoracic segments,and the predictive role of different MEP parameters on postoperative lower extremity motor function.Methods A retrospective analysis was conducted on the clinical data of 227 patients diagnosed with cervical or thoracic OPLL and underwent decompression surgery from January 2022 to January 2024 in the hospital.There were 131 males and 96 females,with an average age of(60±10)years.All patients underwent continuous neuro-physiological monitoring during the operation,and the minimum ratio of MEP amplitude change to the baseline at the beginning of the operation(Dmax)and the ratio of MEP terminal amplitude change to the baseline at the end of the operation(Dend)were recorded.The correlations between these two ratios and the lower extremity motor func-tion immediately after the operation and at 1 year were compared.According to the Medical Research Council muscle strength score(MRC)standard,a postoperative score increase of≥1 point compared to preoperative was defined as postoperative motor dysfunction.Pearson correlation coefficients were used to evaluate the correlations between Dmax and Dend and the lower extremity motor function immediately after the operation and at 1 year.Receiver operating characteristic(ROC)curves were drawn to predict postoperative lower extremity motor dysfunc-tion using Dmax and Dend.Results Among the 227 patients,186 had cervical OPLL and 41 had thoracic OPLL.The incidence of lower extremity motor dysfunction immediately after the operation and at 1 year was 7 cases(3.76%)and 2 cases(1.08%)in the cervical group,and 9 cases(21.95%)and 3 cases(7.32%)in the thoracic group,respectively.The incidence of lower extremity motor dysfunction in the thoracic group was higher than that in the cervical group(P<0.001).The baseline induction rate of bilateral lower extremity MEPs was 98.92%(368/372)in the cervical group and 96.34%(79/82)in the thoracic group.The Pearson correlation coefficients of Dend with the bilateral lower extremity motor function immediately after the operation in the cervical and thoracic groups were both greater than those of Dmax,and the differences were statistically significant(cervical group:r=0.669,0.517,P=0.001 2;thoracic group:r=0.882,0.727,P=0.003 6),while the differences in the Pearson corre-lation coefficients of Dend and Dmax with the bilateral lower extremity motor function at 1 year were not statistically significant(cervical group:r=0.457,0.352,P=0.088;thoracic group:r=0.760,0.625,P=0.098).The cut-off values of Dend for the cervical group were 0.853 immediately after the operation and at 1 year,and the cut-off values of Dmax were 0.881 and 0.978,respectively.For the thoracic group,the cut-off values of Dend were 0.532 immediately after the operation and 0.639 at 1 year,and the cut-off values of Dmax were 0.532 and 0.640,respec-tively.Conclusions In OPLL surgery,the MEP monitoring strategy should be adjusted according to the surgical segment.For the cervical segment,Dmax should be emphasized to balance high sensitivity and specificity,while for the thoracic segment,Dmax or Dend can be flexibly selected.Higher MEP warning thresholds are required for cervical OPLL surgery(Dmax:0.881 immediately after the operation and 0.978 at 1 year;Dend:0.853),while significantly lower thresholds are needed for thoracic OPLL(Dmax/Dend:0.532 immediately after the operation and 0.640 at 1 year).

Given the lack of annotations for key lung organs and tissues in existing public datasets,this study collected 863 cases of chest CT scan images and constructed the first comprehensive dataset containing annotations of pulmonary vessels,airways,and nodules using a semi-automated method that combines computer vision algorithms with manual corrections by radiologists.On this basis,a lung nodule segmentation model based on multi-task learning is proposed.By incorporating annotations of pulmonary vessels(pulmonary arteries and veins)and the trachea to enhance model's ability to learn lung features,the proposed model reduces the false discovery rate in lung nodule detection,and improves generalization ability.Additionally,the use of larger image patches further optimizes model performance.The trained VAAN_128 model achieves the best performance,with a Dice coefficient of 0.694 and a false discovery rate of 0.210 for lung nodule segmentation.Moreover,it simultaneously provides accurate segmentation results of pulmonary vessels and the trachea,assisting in the formulation of more precise diagnosis and treatment plans.Based on the VAAN_128 model,a software system for navigation and localization in biopsy procedures is developed.In clinical practice,this system can assist physicians in accurately locating lung nodules,distinguishing critical tissues,and improving preoperative planning efficiency.This provides precise and efficient technical support for early diagnosis and disease monitoring of lung diseases,and is of great significance for path planning in clinical navigation system and future lung imaging research.

Objective To evaluate the application value of stereotactic robotic surgery driven by a multi scenario AI system in the elderly with severe hypoperfusion in the internal capsule area and minor HTH.Methods A retrospective analysis was conducted on 101 minor HTH patients com-plicated with severe hypoperfusion in the internal capsule area identified by an AI diagnostic sys-tem in our department from January to October 2024.Among them,48 cases who underwent ster-eotactic robotic drainage with AI system support were assigned into the study group,and 53 cases of conventional drug treatment were into the control group.The general clinical data were com-pared between the two group.Improvement rate of rCBF 14 d after treatment,effective rate 90 d after treatment,favorable prognosis rate,and incidence of shunt dependent hydrocephalus were compared between the two groups to evaluate the application value of AI-assisted stereotactic ro-botic surgery in these patients.Results The study group had significantly higher improvement rate of rCBF 14 d after treatment,better effective rate and larger ratio of favorable prognosis 90 d after treatment when compared with the control group(60.4％vs 39.6％,P＜0.05;62.5％vs 41.5％,P＜0.05;64.6％vs 43.4％,P＜0.05).Conclusion Stereotactic robotic assisted drainage driven by multi scenario AI system can significantly improve the prognosis of the elderly minor HTH patients complicated with severe hypoperfusion in the internal capsule area.

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.

BACKGROUND:Developmental dysplasia of hip refers to the deformity of acetabulum and proximal femur,which can lead to hip instability and hip osteoarthritis. Periacetabular osteotomy is the main treatment for non-terminal developmental dysplasia of hip in adolescents and adults. Pelvic inclination plays an important role in biomechanics of hip joint,which determines the stress direction of hip joint. In hip joint diseases,pelvic compensatory tilt can occur to minimize the abnormal stress of hip joint.OBJECTIVE:To observe whether periacetabular osteotomy changes pelvic sagittal tilt in patients with developmental dysplasia of hip,and to investigate the effect of acetabular covering on pelvic sagittal tilt.METHODS:A retrospective analysis was performed on 29 patients who underwent periacetabular osteotomy due to developmental dysplasia of hip in West China Hospital of Sichuan University from August 2019 to June 2022. Anteroposterior X-rays of the standing pelvis were collected before and 6 months after surgery. The pelvic tilt parameters,including the lateral center-edge angle,pubic symphysis to sacroiliac joint distance,pubic symphysis to sacroiliac joint midline distance,sacrofemoral-pubic angle,and pelvic tilt,were measured. Hip functions of all patients were assessed by hip disability and osteoarthritis score and Harris score before and 6 months after surgery.RESULTS AND CONCLUSION:(1) The lateral center-edge angle,pubic symphysis to sacroiliac joint midline distance,and sacrofemoral-pubic angle were significantly increased 6 months postoperatively compared to preoperative values (P<0.05). Tonnis angle and pelvic tilt were significantly decreased (P<0.05). There was no significant difference in pubic symphysis to sacroiliac joint distance between preoperative and postoperative measurements (P>0.05). (2) The hip disability and osteoarthritis scores and Harris scores were significantly increased 6 months after operation (P<0.01). (3) It is indicated that periacetabular osteotomy surgery can significantly improve acetabular coverage and the pelvis showed significant anteversion changes in patients with developmental dysplasia of hip.

Objective:To investigate the relationship between intratumoral mature tertiary lymphoid structures(mTLS)and the therapeutic efficacy and prognosis in gastric cancer patients receiving neoadjuvant immunotherapy.Methods:A total of 108 patients with gastric adenocarcinoma who underwent radical resection between January 2022 and January 2024 were retrospectively enrolled.All patients received neoadjuvant therapy regimens containing anti-PD-1 antibodies prior to surgery.Based on the presence of mTLS within the tumor or tumor regression bed,pa-tients were categorized into mTLS-positive and mTLS-negative groups.The correlation between mTLS status and clinicopathological features was analyzed.The presence of mTLS was also compared between patients who achieved pathological complete response(pCR)and those with non-pCR after neoadjuvant immunotherapy.Furthermore,asso-ciations between mTLS status,treatment efficacy,and long-term outcomes were assessed.The predictive value of mTLS for clinical outcomes was evaluated using ROC curve analysis.Results:Among the 108 patients,87(80.6%)exhibited intratumoral TLSs,and 52(48.1%)had mature TLSs.The presence of mTLS was significantly associated with greater tumor regression and lower post-treatment ypTNM stage(P<0.001).The mTLS-positive rate was markedly higher in pCR patients than in non-pCR patients(P<0.001).Patients with mTLS positivity demonstrated significantly longer overall survival(HR=3.70,95%CI:2.17-6.33,P<0.001)and recurrence-free survival(HR=4.04,95%CI:2.44-6.70,P<0.001).ROC analysis revealed that the AUCs of mTLS for predicting recurrence and mortality were 0.762(95%CI:0.668-0.856,P<0.001)and 0.740(95%CI:0.645～0.837,P<0.001),respectively.Conclusion:The presence of intratumoral mature tertiary lymphoid structures is significantly associated with tumor regression and favorable clinical outcomes in gastric cancer patients receiving neoadjuvant immunotherapy.mTLS status may serve as a valuable bio-marker for predicting the clinical outcomes of gastric cancer patients receiving neoadjuvant immunotherapy.

Oropharyngeal squamous cell carcinoma(OPSCC)is a malignant tumor originating from the squamous epithelium of the oro-pharyngeal mucosa,accounting for more than 90％of oropharyngeal malignancies.In recent years,human papillomavirus(HPV)infec-tion has become one of the primary etiological factors of oropharyngeal squamous carcinoma.The incidence of HPV-associated oropharyn-geal squamous carcinoma has been rising annually,with a noticeable trend toward younger populations,posing a significant threat to hu-man health.Due to the distinct biological behavior and clinical characteristics of HPV-associated oropharyngeal squamous carcinoma com-pared to its non-HPV-related counterpart,the diagnostic and treatment strategies for oropharyngeal squamous carcinoma have undergone substantial changes.Prevention and screening for oropharyngeal squamous carcinoma are of critical importance.The diagnostic and treat-ment process involves multi-disciplinary collaboration,including oral and maxillofacial surgery,otolaryngology,head and neck surgery,oncology,radiology and pathology.Based on evidence from clinical practice,a comprehensive,integrated diagnostic and therapeutic ap-proach has been established,centered around the concept of"prevention,screening,diagnosis,treatment,and rehabilitation",covering the entire patient lifecycle and providing a valuable reference for clinical practice.

Given the lack of annotations for key lung organs and tissues in existing public datasets,this study collected 863 cases of chest CT scan images and constructed the first comprehensive dataset containing annotations of pulmonary vessels,airways,and nodules using a semi-automated method that combines computer vision algorithms with manual corrections by radiologists.On this basis,a lung nodule segmentation model based on multi-task learning is proposed.By incorporating annotations of pulmonary vessels(pulmonary arteries and veins)and the trachea to enhance model's ability to learn lung features,the proposed model reduces the false discovery rate in lung nodule detection,and improves generalization ability.Additionally,the use of larger image patches further optimizes model performance.The trained VAAN_128 model achieves the best performance,with a Dice coefficient of 0.694 and a false discovery rate of 0.210 for lung nodule segmentation.Moreover,it simultaneously provides accurate segmentation results of pulmonary vessels and the trachea,assisting in the formulation of more precise diagnosis and treatment plans.Based on the VAAN_128 model,a software system for navigation and localization in biopsy procedures is developed.In clinical practice,this system can assist physicians in accurately locating lung nodules,distinguishing critical tissues,and improving preoperative planning efficiency.This provides precise and efficient technical support for early diagnosis and disease monitoring of lung diseases,and is of great significance for path planning in clinical navigation system and future lung imaging research.